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theo-michel
updated
a
Space
19 minutes ago
flowing-hugs
updated
a
Space
5 days ago
MrDragonFox
posted
an
update
6 days ago
Post
1722
did a small emotive classified test dataset for all the tts tuners out there
MrDragonFox/Elise
3h total mit - single speaker voice
dataset is a copy of an existing one just added the emotional tags over 1200 samples - should be good enough to test if emotional tags stick in your finetune
MrDragonFox/Elise
3h total mit - single speaker voice
dataset is a copy of an existing one just added the emotional tags over 1200 samples - should be good enough to test if emotional tags stick in your finetune
- 1 reply
Post
2750
🚀 We are quite excited to announce the Ai4Privacy Python library! 🎉
pip install ai4privacy to anonymize short english text with OpenPII Masking 500k labels
📊 Day 5/7 of PII Masking 1M announcements complete! ⏰
pip install ai4privacy to anonymize short english text with OpenPII Masking 500k labels
📊 Day 5/7 of PII Masking 1M announcements complete! ⏰
Post
3029
🌟 Day 4: Two Models, One Privacy Mission! 🌟
The PII-Masking-1M series rolls on with two gems:
Categorical: ai4privacy/llama-ai4privacy-multilingual-categorical-anonymiser-openpii
Redaction: ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii
Join us in protecting data everywhere!
#AI #Privacy #OpenSource #Multilingual
The PII-Masking-1M series rolls on with two gems:
Categorical: ai4privacy/llama-ai4privacy-multilingual-categorical-anonymiser-openpii
Redaction: ai4privacy/llama-ai4privacy-multilingual-anonymiser-openpii
Join us in protecting data everywhere!
#AI #Privacy #OpenSource #Multilingual
Post
1703
📊 99%+ PII Masking Precision in English Straight to Your Browser! 🚀
ai4privacy/general-english-anonymiser-openpii-500k
Hard Facts:
🖥️ Runs in-browser—blazing fast, no server latency
👐 Open-source, MIT-licensed (even for commercial use)
📈 Full metrics on Hugging Face dataset and model pages
Day 3 out 7 of PII-Masking-1M Announcements Complete!
*Accuracies reported from the new OpenPII-500k dataset
#DataPrivacy #AI #OpenSource
ai4privacy/general-english-anonymiser-openpii-500k
Hard Facts:
🖥️ Runs in-browser—blazing fast, no server latency
👐 Open-source, MIT-licensed (even for commercial use)
📈 Full metrics on Hugging Face dataset and model pages
Day 3 out 7 of PII-Masking-1M Announcements Complete!
*Accuracies reported from the new OpenPII-500k dataset
#DataPrivacy #AI #OpenSource
Post
2083
#PII Masking Tech that does not **** around!
We are happy to release the OpenPII English Anonymiser —the most powerful open-source tool for redacting sensitive info from English text.
Fine-tuned Modernbert on 5.7 million+ PII examples, it’s clocking 99%+ accuracy across emails, dates, social numbers, and more!
Why it’s a big deal:
✅ Top-tier precision: 100% for passport numbers, 99.96% for emails*.
✅ Totally free: MIT license for personal or commercial use.
✅ No secrets: Full metrics shared on Hugging Face.
#AI #OpenSource #DataSecurity @huggingface
Day 2 out 7 of PII-Masking-1M Announcements Complete!
*Accuracies reported from the new OpenPII-500k dataset
ai4privacy/llama-ai4privacy-english-anonymiser-openpii
We are happy to release the OpenPII English Anonymiser —the most powerful open-source tool for redacting sensitive info from English text.
Fine-tuned Modernbert on 5.7 million+ PII examples, it’s clocking 99%+ accuracy across emails, dates, social numbers, and more!
Why it’s a big deal:
✅ Top-tier precision: 100% for passport numbers, 99.96% for emails*.
✅ Totally free: MIT license for personal or commercial use.
✅ No secrets: Full metrics shared on Hugging Face.
#AI #OpenSource #DataSecurity @huggingface
Day 2 out 7 of PII-Masking-1M Announcements Complete!
*Accuracies reported from the new OpenPII-500k dataset
ai4privacy/llama-ai4privacy-english-anonymiser-openpii
Post
2687
🚀 Ai4Privacy Team is excited to unveil PII-Masking-1M, our most significant release yet! 🎉
This publication series 📦 includes datasets 📊, models 🤖, and applications ⚙️ to advance PII masking with AI systems 🛡️
Starting on Monday with daily posts at 7 PM CET ⏰
This publication series 📦 includes datasets 📊, models 🤖, and applications ⚙️ to advance PII masking with AI systems 🛡️
Starting on Monday with daily posts at 7 PM CET ⏰
Post
1213
🙋🏻♂️Hey there folks,
Did you know that you can use ModernBERT to detect model hallucinations ?
Check out the Demo : Tonic/hallucination-test
See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard
check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1
and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect
👆🏻if you like this topic please contribute code upstream 🚀
Did you know that you can use ModernBERT to detect model hallucinations ?
Check out the Demo : Tonic/hallucination-test
See here for Medical Context Demo : MultiTransformer/tonic-discharge-guard
check out the model from KRLabs : KRLabsOrg/lettucedect-large-modernbert-en-v1
and the library they kindly open sourced for it : https://github.com/KRLabsOrg/LettuceDetect
👆🏻if you like this topic please contribute code upstream 🚀
- 2 replies
Post
720
Powered by
KRLabsOrg/lettucedect-large-modernbert-en-v1 from KRLabsOrg.
Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg](
KRLabsOrg
)
- **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.
LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Detect hallucinations in answers based on context and questions using ModernBERT with 8192-token context support!
### Model Details
- **Model Name**: [lettucedect-large-modernbert-en-v1]( KRLabsOrg/lettucedect-large-modernbert-en-v1)
- **Organization**: [KRLabsOrg](
KRLabsOrg
) - **Github**: [https://github.com/KRLabsOrg/LettuceDetect](https://github.com/KRLabsOrg/LettuceDetect)
- **Architecture**: ModernBERT (Large) with extended context support up to 8192 tokens
- **Task**: Token Classification / Hallucination Detection
- **Training Dataset**: [RagTruth]( wandb/RAGTruth-processed)
- **Language**: English
- **Capabilities**: Detects hallucinated spans in answers, provides confidence scores, and calculates average confidence across detected spans.
LettuceDetect excels at processing long documents to determine if an answer aligns with the provided context, making it a powerful tool for ensuring factual accuracy.
Post
3231
A comprehensive matrix for which format should you use.
Read more on my blog post: https://huggingface.co/blog/ngxson/common-ai-model-formats
Read more on my blog post: https://huggingface.co/blog/ngxson/common-ai-model-formats
| Hardware | GGUF | PyTorch | Safetensors | ONNX |
|-----------------|-----------|------------------------|--------------------------|-------|
| CPU | ✅ (best) | 🟡 | 🟡 | ✅ |
| GPU | ✅ | ✅ | ✅ | ✅ |
| Mobile | ✅ | 🟡 (via executorch) | ❌ | ✅ |
| Apple silicon | ✅ | 🟡 | ✅ (via MLX framework) | ✅ |
- 1 reply
ngxson
authored
a
paper
about 2 months ago
Post
2382
🙋🏻♂️hey there folks ,
Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math
give it a try !
Goedel's Theorem Prover is now being demo'ed on huggingface : Tonic/Math
give it a try !
Post
2973
🙋🏻♂️ Hey there folks ,
our team made a game during the @mistral-game-jam and we're trying to win the community award !
try our game out and drop us a ❤️ like basically to vote for us !
Mistral-AI-Game-Jam/TextToSurvive
hope you like it !
our team made a game during the @mistral-game-jam and we're trying to win the community award !
try our game out and drop us a ❤️ like basically to vote for us !
Mistral-AI-Game-Jam/TextToSurvive
hope you like it !
Post
1066
Fun fact: you can get any DeepSeek-R1-Qwen **abliterated** by using one of these LoRA adapters (GGUF available!)
ngxson/extracted-lora-mergekit-677d5c3eea0b6a7661201846
ngxson/extracted-lora-mergekit-677d5c3eea0b6a7661201846
Post
1901
🙋🏻♂️ Hey there folks ,
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Facebook AI just released JASCO models that make music stems .
you can try it out here : Tonic/audiocraft
hope you like it
Post
3423
Check out my collection of pre-made GGUF LoRA adapters!
This allow you to use both normal + abliterated version of popular models like llama, qwen, etc, without having to double to amount of VRAM usage.
ngxson/gguf_lora_collection
This allow you to use both normal + abliterated version of popular models like llama, qwen, etc, without having to double to amount of VRAM usage.
ngxson/gguf_lora_collection
-
- 5 replies
Post
2466
🙋🏻♂️Hey there folks , Open LLM Europe just released Lucie 7B-Instruct model , a billingual instruct model trained on open data ! You can check out my unofficial demo here while we wait for the official inference api from the group :
Tonic/Lucie-7B hope you like it 🚀
Post
3348
I made this small tool that can be useful for debugging Ollama chat template:
ngxson/ollama_template_test
CC @bartowski you may need this ;-)
CC @bartowski you may need this ;-)
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- 2 replies